Santiago Velasco-Forero
Cited by
Cited by
The strong gravitational lens finding challenge
RB Metcalf, M Meneghetti, C Avestruz, F Bellagamba, CR Bom, E Bertin, ...
Astronomy & Astrophysics 625, A119, 2019
Classification of hyperspectral images by tensor modeling and additive morphological decomposition
S Velasco-Forero, J Angulo
Pattern Recognition 46 (2), 566-577, 2013
Improving hyperspectral image classification using spatial preprocessing
S Velasco-Forero, V Manian
IEEE Geoscience and Remote Sensing Letters 6 (2), 297-301, 2009
Manipulating the alpha level cannot cure significance testing
D Trafimow, V Amrhein, CN Areshenkoff, R Bono, SE Chaigneau, ...
Frontiers in psychology 9, 354245, 2018
Supervised ordering in R^p: Application to morphological processing of hyperspectral images
S Velasco-Forero, J Angulo
Image Processing, IEEE Transactions on 20 (11), 3301-3308, 2011
Deep learning for galaxy surface brightness profile fitting
D Tuccillo, M Huertas-Company, E Decencière, S Velasco-Forero, ...
Monthly Notices of the Royal Astronomical Society 475 (1), 894-909, 2018
Random projection depth for multivariate mathematical morphology
S Velasco-Forero, J Angulo
IEEE journal of selected topics in signal processing 6 (7), 753-763, 2012
On-the-go grapevine yield estimation using image analysis and boolean model
B Millan, S Velasco-Forero, A Aquino, J Tardaguila
Journal of Sensors 2018, 1-14, 2018
On power Jaccard losses for semantic segmentation
D Duque-Arias, S Velasco-Forero, JE Deschaud, F Goulette, A Serna, ...
VISAPP 2021: 16th International Conference on Computer Vision Theory and …, 2021
SHREC’14 track: Retrieval and classification on textured 3D models
S Biasotti, A Cerri, M Abdelrahman, M Aono, AB Hamza, M El-Melegy, ...
Proceedings of the Eurographics workshop on 3d object retrieval, 111-120, 2014
Paris-CARLA-3D: A real and synthetic outdoor point cloud dataset for challenging tasks in 3D mapping
JE Deschaud, D Duque, JP Richa, S Velasco-Forero, B Marcotegui, ...
Remote Sensing 13 (22), 4713, 2021
A new color augmentation method for deep learning segmentation of histological images
Y Xiao, E Decencière, S Velasco-Forero, H Burdin, T Bornschlögl, ...
2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019
Retrieval and classification methods for textured 3D models: a comparative study
S Biasotti, A Cerri, M Aono, AB Hamza, V Garro, A Giachetti, D Giorgi, ...
The Visual Computer 32, 217-241, 2016
Max-plus operators applied to filter selection and model pruning in neural networks
Y Zhang, S Blusseau, S Velasco-Forero, I Bloch, J Angulo
Mathematical Morphology and Its Applications to Signal and Image Processing …, 2019
Mathematical morphology for vector images using statistical depth
S Velasco-Forero, J Angulo
Mathematical Morphology and Its Applications to Image and Signal Processing …, 2011
SHREC'18 track: Recognition of geometric patterns over 3D models
S Biasotti, EM Thompson, L Barthe, S Berretti, A Giachetti, T Lejemble, ...
Eurographics workshop on 3D object retrieval, 2018
Local mutual information for dissimilarity-based image segmentation
L Gueguen, S Velasco-Forero, P Soille
Journal of mathematical imaging and vision 48 (3), 625-644, 2014
On nonlocal mathematical morphology
S Velasco-Forero, J Angulo
International Symposium on Mathematical Morphology and Its Applications to …, 2013
Nnakf: A neural network adapted kalman filter for target tracking
S Jouaber, S Bonnabel, S Velasco-Forero, M Pilte
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
SHREC'13 Track: Retrieval on Textured 3D Models.
A Cerri, S Biasotti, M Abdelrahman, J Angulo, K Berger, L Chevallier, ...
3DOR@ Eurographics, 73-80, 2013
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